TL;DR

AI Frameworks Engineer (AI): Developing deep learning compiler technology for %hirify_global% NPUs with an accent on optimizing deep learning networks and developing compiler optimization algorithms. Focus on performance tuning and analysis, implementing compiler and optimization techniques for neural networks, and general software engineering.

Location: This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned %hirify_global% site and off-site in Ireland, Leixlip.

Company

%hirify_global% is hiring software engineers for its deep learning compiler team to build the world's leading deep learning compiler for current and future %hirify_global% NPUs.

What you will do

Develop MLIR based compiler technology for deep learning workloads on %hirify_global% NPUs.
Develop AI execution middleware based on %hirify_global% OpenVINO toolkit.
Develop large-scale production software with validation and continuous integration in mind.
Collaborate with frameworks teams to develop compiler optimizations for the deep learning domain.
Collaborate and coordinate internally and externally with cross geographical teams such as execution runtime software, NPU hardware, infrastructure, and front-end teams on the same project.

Requirements

BS/MS in Computer Science or a similar field.
At least 4 years of experience in C++ programming, software design skills, including debugging, performance analysis, and test design.
Excellent data structure, algorithms and modern C++ programming skills.
Strong interpersonal skills are required along with the ability to work in a multifaceted product-oriented team.
Experience in one the following: compiler technologies, deep-learning frameworks or algorithms, high-performance computing, computer vision, numerical modelling.
Positive can-do attitude, desire to deliver results and winning products. Excellent written and oral communication skills. Passion for optimization and performance, close to hardware, as well as for good software engineering practice and usability.

Nice to have

Experience in developing modern compilers, especially LLVM and MLIR.
Experience with formulating optimization problems and using ILP solvers (e.g. ORTOOLs, CPLEX, SCIP).
Experience in AI hardware accelerators, GPU, heterogeneous architectures software development.
A background in performance analysis and optimization, particularly in machine-learning.
A solid understanding of modern machine-learning primitives and LLMs. A background in Python, modern AI frameworks and ecosystem (e.g., Torch, HuggingFace, llama.cpp, etc.).

Culture & Benefits

You'll be immersed in a diverse, encouraging environment where everyone is encouraged to do their best work.
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services.